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Principal Data Scientist at Authorize.net (Visa) - job 2 of 21

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

 

The Opportunity:

We are seeking a versatile, curious, and energetic Senior Director to join our team of passionate and dedicated engineers and data scientists. We collaborate on Data Engineering and Machine Learning developments at Visa, tackling complex challenges on a global scale! As a Senior Director at Visa, you will play an integral role in a multi-functional development team, inventing, designing, building, and testing products that serve a truly global customer base. Join us and see how your efforts will shape the digital future of payments.

You will have an opportunity to changing the way data products are developed at Visa!

 

Essential Functions:

  • Be a technology thought leader in the domain of ML and applied science in fintech space.

  • Use Generative AI to improve business workflows around core mission critical logic related to dispute management and merchant representment.

  • Build metrics and evaluations as we migrate business logic to LLMs.

  • Build high fidelity models for risk assessment in fintech space

  • Build engg systems to run the models at scale in production workflows.

  • Ensures alignment to data management principles, governance, process, and tools to maintain quality across all projects.

  • Supervises testing code in a common testing environment to assess compatibility.

  • Leads regular calls with production support teams to address issues with code.

  • Shapes the direction for the development of tools and automation processes that assist in transforming, optimizing, managing, accessing, deploying, and monitoring data processes in batches and in real time.

  • Monitors and supervises efforts to automate advanced data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across the data pipeline.

  • Leads efforts to drive efficiencies across data extraction and ensures data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$175000 / YEARLY (est.)
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$150000K
$200000K

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What You Should Know About Principal Data Scientist at Authorize.net (Visa), Visa

Join Visa as a Principal Data Scientist in Bellevue and become a key player in reshaping the future of commerce! At Authorize.net, we're part of Visa’s Technology Organization, where innovation meets problem-solving in the world of fintech. In this role, you'll dive into complex distributed systems while addressing large-scale challenges centered around new payment flows, data solutions, and cybersecurity. As a Principal Data Scientist, you'll have the chance to collaborate with a dynamic team of engineers and data scientists, utilizing Generative AI to streamline critical business workflows related to dispute management and merchant representment. You’ll build high-fidelity models for risk assessment and oversee the creation of engineering systems designed to run these models effectively in production workflows. Your role will not only involve strategy and development but also ensuring quality through adherence to data management principles and the cultivation of advanced data extraction techniques. If you're ready to lead in an exciting, fast-paced environment that encourages innovation and efficiency, we want to hear from you!

Frequently Asked Questions (FAQs) for Principal Data Scientist at Authorize.net (Visa) Role at Visa
What responsibilities does a Principal Data Scientist at Authorize.net have?

As a Principal Data Scientist at Authorize.net (Visa), your responsibilities include leading the development of machine learning models, leveraging Generative AI to enhance workflows, and ensuring data quality across projects. You'll oversee analytics processes, collaborate with engineering teams, and shape the strategic direction for tools that optimize data management as you tackle complex challenges in the fintech space.

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What qualifications are needed for a Principal Data Scientist role at Authorize.net?

To excel as a Principal Data Scientist at Authorize.net (Visa), candidates typically need a strong background in machine learning, data science, and data engineering. A relevant advanced degree, such as a Master's or PhD, is often required, along with experience in building and deploying models at scale, as well as expertise in data governance and transformation processes specific to fintech.

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How does the hybrid work model at Authorize.net affect the Principal Data Scientist role?

The hybrid work model at Authorize.net allows Principal Data Scientists to split their time between remote work and the Bellevue office, with expectations to be in-office 2-3 days a week. This flexibility enables team members to collaborate effectively while also enjoying the benefits of a remote work environment, adapting to business needs as necessary.

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What is the impact of the Principal Data Scientist role on data management at Authorize.net?

The Principal Data Scientist at Authorize.net plays a crucial role in elevating data management practices by shaping the development of advanced tools and strategies for data extraction, optimization, and quality assurance. This position directly influences the efficiency of data processes and ensures that the organization maintains high standards in data integrity across all projects.

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What technologies will a Principal Data Scientist at Authorize.net work with?

In the role of Principal Data Scientist at Authorize.net (Visa), you’ll work with cutting-edge technologies in machine learning, such as Generative AI, and tools for data modeling and automation. Familiarity with big data frameworks and languages like Python or R, as well as experience with cloud platforms for deploying models, will be essential to succeed in this position.

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Common Interview Questions for Principal Data Scientist at Authorize.net (Visa)
Can you describe your experience with machine learning models in a fintech context?

When answering this question, relate specific projects where you've developed machine learning models in the fintech industry, discussing the algorithms you used, the challenges faced, and the outcomes achieved, highlighting both technical skills and business impact.

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How do you ensure data quality when working on complex datasets?

Focus on your strategies for maintaining data quality, such as using data wrangling techniques, implementing validation protocols, and applying processes for continuous monitoring. Provide examples where these practices led to positive results in your previous roles.

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What role do you believe Generative AI plays in advancing business workflows?

Discuss your understanding of Generative AI and its potential to automate and enhance business processes. Share insights on specific applications you've seen or worked with, especially in areas like dispute resolution and risk assessment in fintech.

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How do you handle disagreements or conflicts within a data science team?

Share your approach to conflict resolution, emphasizing collaboration and communication. Provide examples of how you've facilitated discussions, leading to a constructive outcome while maintaining team morale.

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Describe a project where you had to implement machine learning at scale.

Detail a specific project where you successfully deployed machine learning models on a large scale, articulating the technical challenges you faced, how you overcame them, and the impact of your work on the organization.

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What experience do you have with data governance and compliance in data projects?

Discuss your familiarity with data governance frameworks, compliance regulations, and how you've previously ensured that your projects adhered to these standards. Mention any key learnings from past experiences.

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How do you stay updated with the latest trends and technologies in data science?

Talk about your commitment to continuous learning through reading industry publications, attending conferences, and participating in online communities. Highlight specific resources that you find valuable for keeping your skills fresh.

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What metrics do you find most important when evaluating data science project success?

Identify key performance indicators (KPIs) that you consider crucial for measuring the success of data science projects, such as accuracy, precision, recall, and business impact. Provide context on how you've worked to optimize these metrics.

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Have you ever implemented automation in data processing? Explain your approach.

Describe a specific instance where you automated data processing tasks, detailing the tools and frameworks you utilized, the challenges you encountered, and the efficiencies gained from the automation.

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What advice would you give a novice data scientist entering the fintech industry?

Offer practical advice based on your own experiences, emphasizing the importance of a strong mathematical foundation, staying curious about new technologies, and being proactive in seeking mentorship and collaboration opportunities.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 4, 2025

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